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  • Supervised Learning

Supervised Learning Courses

Supervised learning courses can help you learn regression analysis, classification techniques, and model evaluation methods. You can build skills in feature selection, hyperparameter tuning, and understanding bias-variance tradeoff. Many courses introduce tools like Python libraries such as scikit-learn and TensorFlow, that support implementing algorithms and analyzing data.


Popular Supervised Learning Courses and Certifications


  • N

    Northeastern University

    Introduction to Machine Learning and Algorithmic Bias

    Skills you'll gain: Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Machine Learning, Governance, Model Evaluation, Risk Mitigation, Algorithms, Data Preprocessing, Business Ethics, Data Governance, Data Collection, Regulatory Requirements, Business, Business Strategy, Business Planning

    Beginner · Course · 1 - 4 Weeks

  • B

    Board Infinity

    Learning MEAN Stack by Building Real world Application

    Skills you'll gain: Angular, Node.JS, Full-Stack Web Development, HTML and CSS, JavaScript Frameworks, User Interface (UI), Application Deployment, Application Frameworks, Back-End Web Development, Front-End Web Development, Hypertext Markup Language (HTML), MongoDB, User Interface (UI) Design, Web Design, Middleware, Bootstrap (Front-End Framework), jQuery, Javascript, Databases, Cascading Style Sheets (CSS)

    4.2
    Rating, 4.2 out of 5 stars
    ·
    65 reviews

    Intermediate · Specialization · 1 - 3 Months

  • P

    Packt

    Fundamentals of AI, Machine Learning, and Python Programming

    Skills you'll gain: NumPy, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Artificial Intelligence, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Python Programming, Artificial Neural Networks, Data Manipulation, Tensorflow, Regression Analysis, Machine Learning, Computer Programming, Model Evaluation

    Beginner · Course · 3 - 6 Months

  • P

    Packt

    Building Recommender Systems with Machine Learning and AI

    Skills you'll gain: Apache Spark, Artificial Intelligence and Machine Learning (AI/ML), AWS SageMaker, Scalability, Tensorflow, Dimensionality Reduction, Autoencoders, Applied Machine Learning, Python Programming, Fraud detection, Unsupervised Learning, Data Preprocessing, Model Evaluation, Performance Tuning

    Intermediate · Course · 3 - 6 Months

  • N

    New York University

    Overview of Advanced Methods of Reinforcement Learning in Finance

    Skills you'll gain: Reinforcement Learning, Financial Trading, Financial Market, Derivatives, Market Liquidity, Finance, Market Dynamics, Risking, Financial Modeling, Market Data, Credit Risk, Machine Learning

    3.8
    Rating, 3.8 out of 5 stars
    ·
    85 reviews

    Advanced · Course · 1 - 4 Weeks

  • H

    H2O.ai

    Data Science and Machine Learning H2O.ai Platforms

    Skills you'll gain: Model Deployment, Generative AI, Data Wrangling, Project Planning, Responsible AI, Data Preprocessing, Data Governance, Exploratory Data Analysis, Applied Machine Learning, Large Language Modeling, AI Enablement, MLOps (Machine Learning Operations), Data Science, Prompt Engineering, Model Evaluation, Feature Engineering

    Intermediate · Course · 1 - 3 Months

  • Status: Hot New Release
    Hot New Release
    U

    University of Colorado Boulder

    Machine Learning: Theory and Hands-on Practice with Python

    Skills you'll gain: Recurrent Neural Networks (RNNs), Vision Transformer (ViT), PyTorch (Machine Learning Library), Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Large Language Modeling, Natural Language Processing, Embeddings, Network Model, Network Architecture, Algorithms

    4.3
    Rating, 4.3 out of 5 stars
    ·
    18 reviews

    Intermediate · Specialization · 3 - 6 Months

  • U

    University of Houston

    Powerful Tools for Teaching and Learning: Web 2.0 Tools

    Skills you'll gain: Collaborative Software, Digital pedagogy, Education Software and Technology, Collaboration, Learning Management Systems, Teaching, digital literacy, Communication, Technology Strategies, Web Applications, Communication Systems, Digital Communications

    4.5
    Rating, 4.5 out of 5 stars
    ·
    189 reviews

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Machine Learning with TensorFlow on Google Cloud en Français

    Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Keras (Neural Network Library), Data Preprocessing, Google Cloud Platform, Data Quality, Applied Machine Learning, Data Cleansing, Machine Learning, Logistic Regression, Data Pipelines, Data Strategy, Supervised Learning, Model Evaluation, Model Deployment, Machine Learning Algorithms, Performance Tuning, MLOps (Machine Learning Operations), Artificial Neural Networks

    4.2
    Rating, 4.2 out of 5 stars
    ·
    30 reviews

    Intermediate · Specialization · 3 - 6 Months

  • G

    Google Cloud

    Utiliser BigQuery Machine Learning pour l'inférence

    Skills you'll gain: Big Data, Data Analysis, Google Cloud Platform, Applied Machine Learning, Statistical Inference, Machine Learning Methods, SQL, Model Deployment

    Beginner · Course · 1 - 4 Weeks

  • U

    Universidades Anáhuac

    Deep Learning: Del Concepto a la Práctica

    Skills you'll gain: Artificial Neural Networks, Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Tensorflow, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Image Analysis, Computer Vision, Model Evaluation, Python Programming

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Glasgow

    Deep learning in Electronic Health Records - CDSS 2

    Skills you'll gain: Deep Learning, Recurrent Neural Networks (RNNs), Data Preprocessing, Artificial Neural Networks, Convolutional Neural Networks, Model Evaluation, Health Informatics, Electronic Medical Record, Data Cleansing, Feature Engineering, Time Series Analysis and Forecasting, Predictive Modeling, Classification Algorithms

    4
    Rating, 4 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

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1…424344…594

In summary, here are 10 of our most popular supervised learning courses

  • Introduction to Machine Learning and Algorithmic Bias: Northeastern University
  • Learning MEAN Stack by Building Real world Application: Board Infinity
  • Fundamentals of AI, Machine Learning, and Python Programming: Packt
  • Building Recommender Systems with Machine Learning and AI: Packt
  • Overview of Advanced Methods of Reinforcement Learning in Finance: New York University
  • Data Science and Machine Learning H2O.ai Platforms: H2O.ai
  • Machine Learning: Theory and Hands-on Practice with Python: University of Colorado Boulder
  • Powerful Tools for Teaching and Learning: Web 2.0 Tools: University of Houston
  • Machine Learning with TensorFlow on Google Cloud en Français: Google Cloud
  • Utiliser BigQuery Machine Learning pour l'inférence: Google Cloud

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